This service shows the ratio of immigrants who arrived between 2001 and 2016 to immigrants who arrived before 2001, by census subdivision, 2016. The data is a custom extraction from the 2016 Census - 25% sample data.This data pertains to persons in private households who are immigrants by their period of immigration. 'Immigrant' includes persons who are, or who have ever been, landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2016 Census of Population, 'Immigrant' includes immigrants who landed in Canada on or prior to May 10, 2016. 'Period of immigration' refers to the period in which the immigrant first obtained landed immigrant or permanent resident status. For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.

This service shows the ratio of immigrants who arrived between 2001 and 2016 to immigrants who arrived before 2001, by 2016 census division. The data is a custom extraction from the 2016 Census - 25% sample data.This data pertains to persons in private households who are immigrants by their period of immigration. 'Immigrant' includes persons who are, or who have ever been, landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2016 Census of Population, 'Immigrant' includes immigrants who landed in Canada on or prior to May 10, 2016. 'Period of immigration' refers to the period in which the immigrant first obtained landed immigrant or permanent resident status. For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.For additional information refer to the 2016 Census Dictionary for 'Immigrant status' and 'Period of immigration'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

**NOTE** This layer is being replaced with the new authoritative source for PSP location: [Growth and Yield Plots - Active Status](https://catalogue.data.gov.bc.ca/dataset/5da8d02e-cdd8-40f8-b77e-d359f0e67dcd) Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). The Ministries and resource developers will want the active sample locations to determine where there are recognized feature conflicts with any resource development

This dataset includes commonly used socio-economic indicators by CSD (census subdivision). The feature classes were created from geosptial boundary files and tabular data related to the 2016 Census of Canada, Statistics Canada. The topics included are: Age groups and sex, core housing needs, dwelling types, Education, labour force, immigration, Income, knowledge of languages, lone parent family, mobility, housing tenure and visible minorities. This does not constitute an endorsement by Statistics Canada of this product.

This layer is the authoritative source for locating Active Status Growth and Yield plots also known as Permanent Sample Plots (PSPs). These plots are protected and require an additional minimum windfirm buffer of 50m radius in the interior and 100m radius on the coast. These plots are generally 16m radius fixed area plots. Therefore, protected areas need to be a minimum of 66m radius around the plot centre in the interior and 116m radius on the coast. Best practices are to locate the plot centre on the ground as coordinate accuracy varies. The program now maintains partially damaged plots in order to provide critical data on how partially damaged plots grow over time. Therefore, salvage logging is NOT permitted within protected plots. Please contact Anya Reid (Anya.Reid@gov.bc.ca) with questions or updated coordinates for plots. NOTE: Accuracy of the coordinates are variable. Coordinates for plots with a more recent (since 2000) last measurement are generally quite accurate (3m). However, plots measured in the 1990's have a wide range of coordinate accuracy. In all cases, it is necessary to ground truth plot location before block layout. In this spatial layer, low accuracy coordinates are buffered 300m to ensure they do not get missed from development planning. This layer replaces the [Growth and Yield Samples – Active Status](https://catalogue.data.gov.bc.ca/dataset/0ca49478-5d0f-44e8-b6af-3fd6e387803c) layer with more accurate and current information from the Inventory Sample Management Consolidation (ISMC) database.

Crop Heat Units (CHU) are calculated on a daily basis, using the maximum and minimum temperatures in order to account for a crop’s negative response to higher temperatures.The formula used to calculate the CHU value for a day is: (1.8 × (Minimum Temperature − 4.4) + 3.33 × (Maximum Temperature − 10) − 0.084 × (Maximum Temperature − 10)²) ÷ 2.0CHU values are only accumulated during the Growing Season, April 1 through October 31.

**NOTE** This dataset is going to be replaced by the Data Catalogue layer: [Forest Inventory Ground Plots - Public Access](https://catalogue.data.gov.bc.ca/dataset/6d6d115f-4cc2-4141-909e-3344b3a72bcf) This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive

The Labour Force Distribution (LFD) maps are derived from the CanEcumene 2.0 Geodatabase using custom tabulations of census-based labour force data. These LFD maps were calculated for each of the five major natural resource sectors in Canada: Forestry, Fisheries, Agriculture, Minerals, and Petroleum and Coal. The measure used is the labour force of each sector as a proportion of the goods-producing sectors in the economy. Labour force proportions were first calculated at the individual community level, and then interpolated on a regional level using GIS (see Eddy et. al. 2020 for more detail). In effect, these maps show the strong importance of Canada’s natural resource sectors in various regions of the country. The darker the tone in each map indicates a region’s higher degree of dependency on a given sector for their economic livelihood.